DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Over 2 million developers have joined DZone.
Log In / Join
Refcards Trend Reports
Events Video Library
Over 2 million developers have joined DZone. Join Today! Thanks for visiting DZone today,
Edit Profile Manage Email Subscriptions Moderation Admin Console How to Post to DZone Article Submission Guidelines
View Profile
Sign Out
Refcards
Trend Reports
Events
View Events Video Library
Zones
Culture and Methodologies Agile Career Development Methodologies Team Management
Data Engineering AI/ML Big Data Data Databases IoT
Software Design and Architecture Cloud Architecture Containers Integration Microservices Performance Security
Coding Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks
Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks

Integrating PostgreSQL Databases with ANF: Join this workshop to learn how to create a PostgreSQL server using Instaclustr’s managed service

Mobile Database Essentials: Assess data needs, storage requirements, and more when leveraging databases for cloud and edge applications.

Monitoring and Observability for LLMs: Datadog and Google Cloud discuss how to achieve optimal AI model performance.

Automated Testing: The latest on architecture, TDD, and the benefits of AI and low-code tools.

Related

  • Data Annotation's Essential Role in Machine Learning Success
  • Auditing Spring Boot Using JPA, Hibernate, and Spring Data JPA
  • OneStream Fast Data Extracts APIs
  • Artificial Intelligence (AI) Utilizing Deep Learning Techniques to Enhance ADAS

Trending

  • Architecting a Completely Private VPC Network and Automating the Deployment
  • The Promise of Personal Data for Better Living
  • Build a Serverless App Fast with Zipper: Write TypeScript, Offload Everything Else
  • The Emergence of Cloud-Native Integration Patterns in Modern Enterprises
  1. DZone
  2. Data Engineering
  3. Data
  4. Close the Gaps: Get Connected to Enable a Digital Thread

Close the Gaps: Get Connected to Enable a Digital Thread

As connected as businesses are these days, manual tasks always create gasps in data gathering. Let's look at a few solutions to create a seamless digital thread.

Alicia Bowers user avatar by
Alicia Bowers
·
Apr. 13, 17 · Opinion
Like (1)
Save
Tweet
Share
4.30K Views

Join the DZone community and get the full member experience.

Join For Free

Is your organization doing a decent job gathering data?

You might be. Certainly, you have data, lots of data.  But, even with all that data, gaps exist at most sites.

These gaps matter. The digital thread involves capturing data across systems, through lifecycles, and recording for Industrial Internet of Things (IIoT) analytics, then back for closed-loop optimization. It’s a seamless digital connection.

With gaps in data, how can you embark on a digital industrial journey?

Start with connecting your industrial assets and operations, and auditing your current environment. Knowing where you stand with data collection will help guide you in overcoming gaps. In most cases, you will not be building a connected organization from a greenfield project. Instead, you will be creating a more complete digital thread across legacy systems and outdated pieces of equipment. These equipment assets are typically standalone, with limited connection capabilities.

Fortunately, you can overcome disparate equipment connectivity and interoperability challenges. Many sites have some software, whether it is embedded in a machine and was developed by the OEM, or developed as part of an HMI/SCADA project. As a best practice, rely on experts to connect your systems and establish a strong HMI/SCADA layer as a foundation for IIoT.

In addition to pinpointing old and/or isolated equipment, you need to identify data gaps that occur for other reasons too. Manual operations are still prevalent and often not tracked. You need to connect people performing manual processes, using software for managing and tracking manual operations in conjunction with your HMI/SCADA.

Also fairly common, information exists but is consumed in an isolated way in the organization. A typical example is regulatory compliance data, only used to generate compliance reports. These reports represent a gold mine of information and can be utilized in the continuous improvement process–thus, the need to access all the data to deliver accurate dashboards and KPIs, both to operations and the business.

Data (computing)

Published at DZone with permission of Alicia Bowers, DZone MVB. See the original article here.

Opinions expressed by DZone contributors are their own.

Related

  • Data Annotation's Essential Role in Machine Learning Success
  • Auditing Spring Boot Using JPA, Hibernate, and Spring Data JPA
  • OneStream Fast Data Extracts APIs
  • Artificial Intelligence (AI) Utilizing Deep Learning Techniques to Enhance ADAS

Comments

Partner Resources

X

ABOUT US

  • About DZone
  • Send feedback
  • Careers
  • Sitemap

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 3343 Perimeter Hill Drive
  • Suite 100
  • Nashville, TN 37211
  • support@dzone.com

Let's be friends: